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Of course, the education industry also takes place great changes.
NEW QUESTION: 1
A TCP/IP host is able to transmit small amounts of data (typically less than 1500 bytes), but attempts to transmit
larger amounts of data hang and then time out. What is the cause of this problem?
A. A port on the switch that is connected to the TCP/IP host is duplicating traffic and sending it to a port that has a
sniffer attached.
B. The processor of an intermediate router is averaging 90 percent utilization.
C. A link is flapping between two intermediate devices.
D. There is a PMTUD failure in the network path.
Answer: D
Explanation:
Sometimes, over some IP paths, a TCP/IP node can send small amounts of data (typically less than 1500 bytes) with
no difficulty, but transmission attempts with larger amounts of data hang, then time out. Often this is observed as a
unidirectional problem in that large data transfers succeed in one direction but fail in the other direction. This
problem is likely caused by the TCP MSS value, PMTUD failure, different LAN media types, or defective links.
Reference: http://www.cisco.com/c/en/us/support/docs/additional-legacy-protocols/ms-windows-
networking/13709-38.html
NEW QUESTION: 2
How many subjects are in the short form of the US Census?
A. 0
B. 1
C. 2
D. 3
Answer: B
NEW QUESTION: 3
開発者は、新しいリードが作成されたときにタスクを挿入する新しいトリガーを作成しました。本番環境にデプロイした後、外部統合は定期的にエラーを報告しています。
統合がビジネスロジックへの影響を最小限に抑えて影響を受けないようにするには、開発者はどの変更を行う必要がありますか？
A. 挿入ステートメントの後にTry / Catchブロックを使用します。
B. 統合が実行される前にトリガーを非アクティブ化します。
C. 統合ユーザーのプロファイルからApexクラスを削除します。
D. allOrNoneをFalseに設定してDatabaseメソッドを使用します。
Answer: A
NEW QUESTION: 4
Microsoft Azureにラムダアーキテクチャを実装するデータエンジニアです。オープンソースのビッグデータソリューションを使用して、データを収集、処理、および保守します。分析データストアのパフォーマンスが低下しています。
次の要件を満たすソリューションを実装する必要があります。
データウェアハウジングを提供する
継続的な管理活動を削減
SQLクエリの応答を1秒未満で配信します
要件を満たすには、HDInsightクラスターを作成する必要があります。
どのタイプのクラスターを作成する必要がありますか？
A. Apache HBase
B. Apache Spark
C. インタラクティブクエリ
D. Apache Hadoop
Answer: B
Explanation:
Explanation
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
Azure Cosmos DB, a globally distributed and multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
The Spark to Azure Cosmos DB Connector
Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos